Cite
The 2021 landscape of FDA-approved artificial intelligence/machine learning-enabled medical devices: An analysis of the characteristics and intended use.
MLA
Zhu, Simeng, et al. “The 2021 Landscape of FDA-Approved Artificial Intelligence/Machine Learning-Enabled Medical Devices: An Analysis of the Characteristics and Intended Use.” International Journal of Medical Informatics, vol. 163, July 2022, p. 104828. EBSCOhost, https://doi.org/10.1016/j.ijmedinf.2022.104828.
APA
Zhu, S., Gilbert, M., Chetty, I., & Siddiqui, F. (2022). The 2021 landscape of FDA-approved artificial intelligence/machine learning-enabled medical devices: An analysis of the characteristics and intended use. International Journal of Medical Informatics, 163, 104828. https://doi.org/10.1016/j.ijmedinf.2022.104828
Chicago
Zhu, Simeng, Marissa Gilbert, Indrin Chetty, and Farzan Siddiqui. 2022. “The 2021 Landscape of FDA-Approved Artificial Intelligence/Machine Learning-Enabled Medical Devices: An Analysis of the Characteristics and Intended Use.” International Journal of Medical Informatics 163 (July): 104828. doi:10.1016/j.ijmedinf.2022.104828.